Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/237223
| DC Field | Value | |
|---|---|---|
| dc.title | 55-pW/pixel Peak Power Imager with Near-Sensor Novelty/Edge Detection and DC-DC Converter-Less MPPT for Purely-Harvested Sensor Nodes | |
| dc.contributor.author | Karim Ali Abdeltawwab Ahmed | |
| dc.contributor.author | HAYATE OKUHARA | |
| dc.contributor.author | Massimo Bruno Alioto | |
| dc.date.accessioned | 2023-02-14T07:07:12Z | |
| dc.date.available | 2023-02-14T07:07:12Z | |
| dc.date.issued | 2023-02-21 | |
| dc.identifier.citation | Karim Ali Abdeltawwab Ahmed, HAYATE OKUHARA, Massimo Bruno Alioto (2023-02-21). 55-pW/pixel Peak Power Imager with Near-Sensor Novelty/Edge Detection and DC-DC Converter-Less MPPT for Purely-Harvested Sensor Nodes. ScholarBank@NUS Repository. | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/237223 | |
| dc.description.abstract | A μW-range low-cost imager with on-chip detection of Regions of Interest (ROI) with novel content and power adaptation to purely-harvested sources is proposed. Novel content detection is achieved via inexpensive edge detection and edge point counting. Frame rate adaptation to light is enabled by a DC-DC converter-less MPPT loop for reduced system complexity. 55-pW/pixel always-on power is achieved in a 180-nm testchip powered by a 3.3x3.3-mm2 solar cell down to 100 lux. | |
| dc.type | Conference Paper | |
| dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
| dc.published.state | Unpublished | |
| Appears in Collections: | Elements Staff Publications | |
Show simple item record
Files in This Item:
| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| D05_07.pdf | 2.22 MB | Adobe PDF | OPEN | None | View/Download |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.